JPWO2020025560A5 - - Google Patents
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- JPWO2020025560A5 JPWO2020025560A5 JP2021503877A JP2021503877A JPWO2020025560A5 JP WO2020025560 A5 JPWO2020025560 A5 JP WO2020025560A5 JP 2021503877 A JP2021503877 A JP 2021503877A JP 2021503877 A JP2021503877 A JP 2021503877A JP WO2020025560 A5 JPWO2020025560 A5 JP WO2020025560A5
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- magnetic resonance
- brain
- resonance data
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- 210000004556 Brain Anatomy 0.000 claims 23
- 230000004913 activation Effects 0.000 claims 23
- 210000003484 anatomy Anatomy 0.000 claims 15
- 230000000694 effects Effects 0.000 claims 11
- 230000000875 corresponding Effects 0.000 claims 10
- 238000002595 magnetic resonance imaging Methods 0.000 claims 6
- 238000003745 diagnosis Methods 0.000 claims 3
Claims (9)
磁気共鳴イメージング装置の使用によって取得される脳の磁気共鳴データを受信するステップであって、前記磁気共鳴データは、前記患者の脳内の解剖学的構造の磁気共鳴データを含む、ステップと、
複数のジオメトリを輪郭描出するように前記脳の磁気共鳴データをセグメント化するステップであって、前記複数のジオメトリの各々が、前記脳内の各々の解剖学的構造に対応し、前記セグメント化は、3D脳モデルを前記脳内の解剖学的構造に適応させるステップを含む、形状制限された変形可能な3D脳モデルに基づく、ステップと、
磁気共鳴イメージング装置の使用によって取得される前記脳の機能的磁気共鳴データを受信ステップと、
前記磁気共鳴データと前記機能的磁気共鳴データをアラインするステップと、
前記アラインされた磁気共鳴データ及び機能的磁気共鳴データに基づいて、複数の活性化レベルを決定するステップであって、前記複数の活性化レベルの各々が、各々の輪郭描出されたジオメトリに対応する、ステップと、
前記輪郭描出されたジオメトリ及び対応する活性化レベルに基づいて前記解剖学的構造の活性化のシーケンスを決定するステップであって、前記活性化のシーケンスは、前記磁気共鳴データ及び機能的磁気共鳴データの順序又はタイミングに基づいて決定される、ステップと、
前記輪郭描出されたジオメトリ及び対応する活性化レベルに基づいて、ある輪郭描出されたジオメトリから別の輪郭描出されたジオメトリへの活動の伝播を決定し、前記活動の伝播は、前記磁気共鳴データ及び機能的磁気共鳴データの順序又はタイミングに基づいて決定され、
前記解剖学的構造の前記輪郭描出されたジオメトリに対応する前記脳内の動的活動のグラフィック表現を出力するステップであって、前記動的活動のグラフィック表現が更に前記活動のシーケンス及び前記活動の伝播を有する、ステップと、
を有する方法。 A method of obtaining activation data specific to anatomy in a patient's brain, comprising:
receiving magnetic resonance data of the brain acquired by use of a magnetic resonance imaging device , said magnetic resonance data comprising magnetic resonance data of anatomy within the patient's brain ;
segmenting the brain magnetic resonance data to delineate a plurality of geometries, each of the plurality of geometries corresponding to a respective anatomical structure within the brain; is based on a shape-constrained deformable 3D brain model, comprising adapting the 3D brain model to the anatomy in said brain ;
receiving functional magnetic resonance data of the brain obtained by use of a magnetic resonance imaging device;
aligning the magnetic resonance data and the functional magnetic resonance data;
determining a plurality of activation levels based on the aligned magnetic resonance data and the functional magnetic resonance data, each of the plurality of activation levels corresponding to a respective delineated geometry; do, step and
determining a sequence of activations of the anatomical structure based on the contoured geometry and corresponding activation levels, the sequence of activations comprising the magnetic resonance data and functional magnetic resonance data; a step determined based on the order or timing of
determining propagation of activity from one delineated geometry to another delineated geometry based on the delineated geometries and corresponding activation levels, the activity deriving from the magnetic resonance data and determined based on the order or timing of the functional magnetic resonance data;
outputting a graphical representation of dynamic activity in the brain corresponding to the delineated geometry of the anatomy, wherein the graphical representation of dynamic activity further comprises the sequence of activities and the sequence of activities; a step with propagation ;
How to have
磁気共鳴イメージング装置の使用により得られる脳の磁気共鳴データを受信するステップであって、前記磁気共鳴データは、前記患者の脳内の解剖学的構造の磁気共鳴データを含む、ステップと、 receiving magnetic resonance data of the brain obtained by use of a magnetic resonance imaging device, said magnetic resonance data comprising magnetic resonance data of anatomical structures within the patient's brain;
複数のジオメトリを輪郭描出するように前記脳の磁気共鳴データをセグメント化するステップであって、前記複数のジオメトリの各々が、前記脳内の各々の解剖学的構造に対応し、前記セグメント化は、3D脳モデルを前記脳内の解剖学的構造に適応させるステップを含む、形状制限された変形可能な3D脳モデルに基づく、ステップと、 segmenting the brain magnetic resonance data to delineate a plurality of geometries, each of the plurality of geometries corresponding to a respective anatomical structure within the brain, the segmenting comprising: , based on a shape-constrained deformable 3D brain model, including adapting the 3D brain model to the anatomy within said brain;
磁気共鳴イメージング装置の使用により得られる前記脳の機能的磁気共鳴データを受信するステップと、 receiving functional magnetic resonance data of the brain obtained by use of a magnetic resonance imaging device;
前記磁気共鳴データと前記機能的磁気共鳴データをアラインするステップと、 aligning the magnetic resonance data and the functional magnetic resonance data;
前記アラインされた磁気共鳴データ及び機能的磁気共鳴データに基づいて、複数の活性化レベルを決定するステップであって、前記複数の活性化レベルの各々が、各々の輪郭描出されたジオメトリに対応する、ステップと、 determining a plurality of activation levels based on the aligned magnetic resonance data and the functional magnetic resonance data, each of the plurality of activation levels corresponding to a respective delineated geometry; , step and
前記輪郭描出されたジオメトリ及び対応する活性化レベルに基づいて前記解剖学的構造の活性化のシーケンスを決定するステップであって、前記活性化のシーケンスは、前記磁気共鳴データ及び機能的磁気共鳴データの順序又はタイミングに基づいて決定される、ステップと、 determining a sequence of activations of the anatomical structure based on the contoured geometry and corresponding activation levels, the sequence of activations comprising the magnetic resonance data and functional magnetic resonance data; a step determined based on the order or timing of
前記輪郭描出されたジオメトリ及び対応する活性化レベルに基づいて、ある輪郭描出されたジオメトリから別の輪郭描出されたジオメトリへの活動の伝播を決定し、前記活動の伝播は、前記磁気共鳴データ及び機能的磁気共鳴データの順序又はタイミングに基づいて決定され、 determining propagation of activity from one delineated geometry to another delineated geometry based on the delineated geometries and corresponding activation levels, the activity deriving from the magnetic resonance data and determined based on the order or timing of the functional magnetic resonance data;
前記解剖学的構造の前記輪郭描出されたジオメトリに対応する前記脳内の動的活動のグラフィック表現を出力するステップと、 outputting a graphical representation of dynamic activity in the brain corresponding to the delineated geometry of the anatomy;
を実行するよう動作可能であるシステム。a system operable to perform
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862711812P | 2018-07-30 | 2018-07-30 | |
US62/711,812 | 2018-07-30 | ||
PCT/EP2019/070400 WO2020025560A1 (en) | 2018-07-30 | 2019-07-30 | Functional magnetic resonance imaging systems and methods |
Publications (2)
Publication Number | Publication Date |
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JP2021531891A JP2021531891A (en) | 2021-11-25 |
JPWO2020025560A5 true JPWO2020025560A5 (en) | 2022-07-29 |
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JP2021503877A Withdrawn JP2021531891A (en) | 2018-07-30 | 2019-07-30 | Functional Magnetic Resonance Imaging Systems and Methods |
Country Status (5)
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US (1) | US11385310B2 (en) |
EP (1) | EP3830595A1 (en) |
JP (1) | JP2021531891A (en) |
CN (1) | CN112534288A (en) |
WO (1) | WO2020025560A1 (en) |
Family Cites Families (16)
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US6292683B1 (en) * | 1999-05-18 | 2001-09-18 | General Electric Company | Method and apparatus for tracking motion in MR images |
US20050154290A1 (en) * | 2001-06-15 | 2005-07-14 | Daniel Langleben | Functional brain imaging for detecting and assessing deception and concealed recognition, and cognitive/emotional response to information |
CA2473963A1 (en) * | 2003-07-14 | 2005-01-14 | Sunnybrook And Women's College Health Sciences Centre | Optical image-based position tracking for magnetic resonance imaging |
US20050085705A1 (en) * | 2003-10-21 | 2005-04-21 | Rao Stephen M. | fMRI system for use in detecting neural abnormalities associated with CNS disorders and assessing the staging of such disorders |
US20050107682A1 (en) * | 2003-10-21 | 2005-05-19 | Rao Stephen M. | fMRI system for use in assessing the efficacy of therapies in treating CNS disorders |
US7346382B2 (en) * | 2004-07-07 | 2008-03-18 | The Cleveland Clinic Foundation | Brain stimulation models, systems, devices, and methods |
JP5178521B2 (en) * | 2005-09-29 | 2013-04-10 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | System and method for acquiring magnetic resonance imaging (MRI) data |
US20110217240A1 (en) * | 2008-09-03 | 2011-09-08 | Craig Ferris | Imaging neuroleptic compounds |
WO2011070464A2 (en) | 2009-12-10 | 2011-06-16 | Koninklijke Philips Electronics N.V. | A system for rapid and accurate quantitative assessment of traumatic brain injury |
EP2670299A4 (en) * | 2011-02-03 | 2017-08-09 | The Medical Research, Infrastructure, And Health Services Fund Of The Tel Aviv Medical Center | Method and system for use in monitoring neural activity in a subject's brain |
JP6232054B2 (en) | 2012-05-31 | 2017-11-15 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | Method, system, computer program and storage medium for determining quality metrics |
US20140275960A1 (en) * | 2013-03-13 | 2014-09-18 | David R. Hubbard | Functional magnetic resonance imaging biomarker of neural abnormality |
US9412076B2 (en) * | 2013-07-02 | 2016-08-09 | Surgical Information Sciences, Inc. | Methods and systems for a high-resolution brain image pipeline and database program |
US11880989B2 (en) * | 2014-04-25 | 2024-01-23 | Thornhill Scientific Inc. | Imaging abnormalities in vascular response |
KR20180107224A (en) * | 2016-02-01 | 2018-10-01 | 더 보드 오브 트러스티스 오브 더 리랜드 스탠포드 쥬니어 유니버시티 | Functional image data analysis method and system |
US20190290130A1 (en) * | 2018-03-21 | 2019-09-26 | Koninklijke Philips N.V. | Neurological examination system |
-
2019
- 2019-07-30 CN CN201980051494.7A patent/CN112534288A/en active Pending
- 2019-07-30 US US17/263,914 patent/US11385310B2/en active Active
- 2019-07-30 EP EP19748787.9A patent/EP3830595A1/en not_active Withdrawn
- 2019-07-30 JP JP2021503877A patent/JP2021531891A/en not_active Withdrawn
- 2019-07-30 WO PCT/EP2019/070400 patent/WO2020025560A1/en unknown
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